You'll work in a small cross-functional team with a lot of autonomy. We value engineers who take ownership of problems end-to-end, care about the quality of what ships, and aren't afraid to challenge how things are done.

Responsibilities

• Build and maintain the backend services and APIs that power the Modo Terminal, running on Django and Python.
• Design and improve data pipelines that ingest, transform, and serve energy market data - ensuring reliability, correctness, and performance at scale.
• Own AWS infrastructure and deployment end-to-end. We use Terraform, and you'll be involved in the full lifecycle from local development to production.
• Build monitoring, observability, and alerting infrastructure - so we catch problems before our customers do.
• Design internal tools (CLIs, APIs, developer utilities) that make the team faster and reduce friction in day-to-day workflows.
• Work directly with domain experts (energy analysts, data scientists) to make sure the platform serves data that is accurate, timely, and useful.
• Contribute to the infrastructure that supports our LLM-powered AI Analyst - retrieval pipelines, tool design, and systems that let models work with energy market data effectively.

About you

• 5+ years of Python experience. Strong backend fundamentals - you write clean, well-structured code and you're comfortable owning services end-to-end, from API design through to deployment and monitoring.
• Real experience with AWS and infrastructure-as-code (Terraform). You've deployed and maintained production services, not just experimented in a sandbox.
• Proficiency with Django, FastAPI or similar async Python frameworks.
• Hands-on experience with data pipelines, relational databases (PostgreSQL), and building systems that serve data reliably at scale.
• Familiarity with LLM-powered applications is a strong plus - whether that's RAG pipelines, tool-calling architectures, or agentic systems. You don't need to be an ML engineer, but you should be curious and ready to build the infrastructure these systems run on.
• Expert-level use of AI coding tools (Cursor, Claude Code, GitHub Copilot, or similar). We write a lot of code with these tools and expect you to be fluent - knowing when to trust them, when to intervene, and how to get the most out of them.
• Good taste and judgment. You'll make constant decisions about system design, data modelling, and what's good enough to ship versus what needs more work. We want someone who cares about the end result, not just getting it to compile.
• Comfort working in a small, fast-moving team where you'll be expected to figure things out, make tradeoffs, and ship.
• You have full lifecycle experience, owning projects end-to-end from design and development, through testing into deployment in a live production environment.

Nice to have

• Experience with energy markets.

The Company

• At Modo Energy, we're on a mission to build the information architecture for the energy transition - we want to be the only place to come to for information on the global journey to net zero. Take a look at our platform, where we provide open access to an array of content on the energy transition.
• We're a dedicated and passionate team building a category-defining business, working on one of the world's most important priorities. We are looking for individuals who love product-building, want to work with pace at a mission-oriented startup, and will collaborate with us in shaping the culture of a rapidly growing team.
• Hybrid Work Environment : This role is hybrid, with time split between working from home and our London office (Euston Square), with in-office days from Tuesday through Thursday.

Salary & Benefits

• Competitive market rate – we want the best engineers!
• Employee Equity Scheme.
• Private Top-Tier Healthcare and Dental coverage with Bupa, Salary sacrifice Pension with 3% employer contribution; 25 days annual leave (excluding bank holidays), plus 5 flexible days to be taken on a Monday or a Friday. And lots of snacks and drinks – obviously!